code: def _result_shape_dtype_struct(
      tape: "qml.tape.QuantumScript", device: "qml.Device"
  ):
      """Auxiliary function for creating the shape and dtype object structure
      given a tape."""
  
      shape = tape.shape(device)
      if len(tape.measurements) == 1:
          m_dtype = _jax_dtype(tape.measurements[0].numeric_type)
          if tape.shots.has_partitioned_shots:
              return tuple(
                  jax.ShapeDtypeStruct(s, m_dtype) for s in shape
              )
          return jax.ShapeDtypeStruct(tuple(shape), m_dtype)
  
      tape_dtype = tuple(
          _jax_dtype(m.numeric_type) for m in tape.measurements
      )
      if tape.shots.has_partitioned_shots:
          return tuple(
              tuple(
                  jax.ShapeDtypeStruct(tuple(s), d)
                  for s, d in zip(si, tape_dtype)
              )
              for si in shape
          )
      return tuple(
          jax.ShapeDtypeStruct(tuple(s), d)
          for s, d in zip(shape, tape_dtype)
      )
  
file_path: pennylane/pennylane/workflow/interfaces/jax_jit.py
imports: import jax
  import jax.numpy
  import pennylane
  from pennylane.typing import ResultBatch
  from ..jacobian_products import _compute_jvps
  from .jax import _NonPytreeWrapper
label_desc: Use image node_id 5 for calling a global function with example usage: _result_shape_dtype_struct(tape, device) and returns: tuple, jax, tuple, tuple